diz

Yeah I think the best examples are everyday problems that people solve all the time but don't explicitly write out solutions step by step for, or not in the puzzle-answer form.

It's not even a novel problem at all, I'm sure there's even a plenty of descriptions of solutions to it as part of stories and such. Just not as "logical puzzles" due to triviality.

What really annoys me is when they claim high performance on benchmarks consisting of fairly difficult problems. This is basically fraud, since they know full well it is still entirely "knowledge" reliant, and even take steps to augment it with generated problems and solutions.

I guess the big sell is that it could use bits and pieces of logic gleaned from other solutions to solve a "new" problem. Except it can not.

And it is Google we're talking about, lol. If no one uses their AI shit they just replace something people use with it (also see search).

It's google though, if nobody uses their shit they just put it inside their search.

It's only gonna go away when they run out of cash.

edit: whoops replied to the wrong comment

I just describe it as "computer scientology, nowhere near as successful as the original".

The other thing is that he's a Thiel project, different but not any more sane than Curtis Yarvin aka Moldbug. So if they heard of moldbug's political theories (which increasingly many people heard about because of, well, them being enacted) it's easy to give a general picture of total fucking insanity funded by thiel money. It doesn't really matter what the particular insanity is, and it matters even less now as the AGI shit hit mainstream entirely bypassing anything Yudkowsky had to say on the subject.

Yeah it really is fascinating. It follows some sort of recipe to try to solve the problem, like it's trained to work a bit like an automatic algebra system.

I think they had employed a lot of people to write generators of variants of select common logical puzzles, e.g. river crossings with varying boat capacities and constraints, generating both the puzzle and the corresponding step by step solution with "reasoning" and re-printing of the state of the items on every step and all that.

It seems to me that their thinking is that successive parroting can amount to reasoning, if its parroting well enough. I don't think it can. They have this one-path approach, where it just tries doing steps and representing state, just always trying the same thing.

What they need for this problem is to take a different kind of step, reduction (the duck can not be left unsupervised -> the duck must be taken with me on every trip -> rewrite a problem without the duck and with 1 less boat capacity -> solve -> rewrite the solution with "take the duck with you" on every trip).

But if they add this, then there's two possible paths it can take on every step, and this thing is far too slow to brute force the right one. They may get it to solve my duck variant, but at the expense of making it fail a lot of other variants.

The other problem is that even seemingly most elementary reasoning involves very many applications of basic axioms. This is what doomed symbol manipulation "AI" in the past and this is what is dooming it now.

Not really. Here's the chain-of-word-vomit that led to the answers:

https://pastebin.com/HQUExXkX

Note that in "its impossible" answer it correctly echoes that you can take one other item with you, and does not bring the duck back (while the old overfitted gpt4 obsessively brought items back), while in the duck + 3 vegetables variant, it has a correct answer in the wordvomit, but not being an AI enthusiast it can't actually choose the correct answer (a problem shared with the monkeys on typewriters).

I'd say it clearly isn't ignoring the prompt or differences from the original river crossings. It just can't actually reason, and the problem requires a modicum of reasoning, much as unloading groceries from a car does.

It’s a failure mode that comes from pattern matching without actual reasoning.

Exactly. Also looking at its chain-of-wordvomit (which apparently I can't share other than by cut and pasting it somewhere), I don't think this is the same as GPT 4 overfitting to the original river crossing and always bringing items back needlessly.

Note also that in one example it discusses moving the duck and another item across the river (so "up to two other items" works); it is not ignoring the prompt, and it isn't even trying to bring anything back. And its answer (calling it impossible) has nothing to do with the original.

In the other one it does bring items back, it tries different orders, even finds an order that actually works (with two unnecessary moves), but because it isn't an AI fanboy reading tea leaves, it still gives out the wrong answer.

Here's the full logs:

https://pastebin.com/HQUExXkX

Content warning: AI wordvomit which is so bad it is folded hidden in a google tool.

Yeah, exactly. There's no trick to it at all, unlike the original puzzle.

I also tested OpenAI's offerings a few months back with similarly nonsensical results: https://awful.systems/post/1769506

All-vegetables no duck variant is solved correctly now, but I doubt it is due to improved reasoning as such, I think they may have augmented the training data with some variants of the river crossing. The river crossing is one of the top most known puzzles, and various people have been posting hilarious bot failures with variants of it. So it wouldn't be unexpected that their training data augmentation has river crossing variants.

Of course, there's very many ways in which the puzzle can be modified, and their augmentation would only cover obvious stuff like variation on what items can be left with what items or spots on the boat.

Full time AI grift jobs would of course be forever closed to any AI whistleblower. There's still a plenty of other jobs.

I did participate in the hiring process, I can tell you that at your typical huge corporation the recruiter / HR are too inept to notice that you are a whistleblower, and don't give a shit anyway. And of the rank and file who will actually google you, plenty enough people dislike AI.

At the rank and file level, the only folks who actually give a shit who you are are people who will have to work with you. Not the background check provider, not the recruiter.

Well the OP talks about a fridge.

I think if anything it's even worse for tiny things with tiny screws.

What kind of floating hologram is there gonna be that's of any use, for something that has no schematic and the closest you have to a repair manual is some guy filming themselves taking apart some related product once?

It looks cool in a movie because it's a 20 second clip in which one connector gets plugged, and tens of person hours were spent on it by very talented people who know how to set up a scene that looks good and not just visually noisy.

but often the video isn’t clear or fine quality enough

Wouldn't it be great if 100x the effort that didn't go into making the video clear or fine quality enough, instead didn't go into making relevant flying, see-through overlay decals?

Ultimately the reason it looks cool is that you're comparing a situation of little effort being put into repair related documentation, to some movie scenario where 20 person-hours were spent making a 20-second repair fragment whereby 1 step of a repair is done.

I'm not sure it's actually being used, beyond C suite wanting something cool to happen and pretending it did happen.